Data Science Festival is looking for a Senior Pricing Data Analyst in London (Hybrid). This hands-on role focuses on analyzing pricing performance and delivering data-driven recommendations that shape pricing strategy. You will collaborate with cross-functional teams to support advanced pricing platform development. The ideal candidate has strong e-commerce analytics experience, advanced SQL skills, and the ability to convey complex insights. Salary ranges from £75K to £85K.
23/05/2026
Full time
Data Science Festival is looking for a Senior Pricing Data Analyst in London (Hybrid). This hands-on role focuses on analyzing pricing performance and delivering data-driven recommendations that shape pricing strategy. You will collaborate with cross-functional teams to support advanced pricing platform development. The ideal candidate has strong e-commerce analytics experience, advanced SQL skills, and the ability to convey complex insights. Salary ranges from £75K to £85K.
Senior Pricing Data Analyst £75K - £85K London (Hybrid) At Data Idols, we are working with a large-scale, data-driven ecommerce business operating globally and using analytics to drive commercial performance. They are now looking for a Senior Pricing Data Analyst to play a key role in shaping pricing strategy and supporting the next phase of growth. The Opportunity This is a hands-on, high-impact role sitting at the heart of the analytics function. You will be responsible for analysing pricing performance, running experiments, and providing clear, data-driven recommendations that influence commercial decisions. Initially, you will work with existing pricing systems, evaluating performance and running trials. Over time, you will contribute to the development of a more advanced pricing platform, with a strong focus on simulations and their impact on business outcomes. You will work closely with stakeholders across product, commercial, and technology teams, helping to embed data-led decision-making across the organisation. Skills and experience Strong experience in analytics within e-commerce, marketplace, or similar environments Advanced SQL skills and experience working with large datasets Experience building dashboards Experience with A/B testing or experimentation Ability to translate complex analysis into clear, commercial insights
23/05/2026
Full time
Senior Pricing Data Analyst £75K - £85K London (Hybrid) At Data Idols, we are working with a large-scale, data-driven ecommerce business operating globally and using analytics to drive commercial performance. They are now looking for a Senior Pricing Data Analyst to play a key role in shaping pricing strategy and supporting the next phase of growth. The Opportunity This is a hands-on, high-impact role sitting at the heart of the analytics function. You will be responsible for analysing pricing performance, running experiments, and providing clear, data-driven recommendations that influence commercial decisions. Initially, you will work with existing pricing systems, evaluating performance and running trials. Over time, you will contribute to the development of a more advanced pricing platform, with a strong focus on simulations and their impact on business outcomes. You will work closely with stakeholders across product, commercial, and technology teams, helping to embed data-led decision-making across the organisation. Skills and experience Strong experience in analytics within e-commerce, marketplace, or similar environments Advanced SQL skills and experience working with large datasets Experience building dashboards Experience with A/B testing or experimentation Ability to translate complex analysis into clear, commercial insights
AI Engineer Salary: £140K - £200K + Equity Location: London in office A venture-backed AI technology company is building production-grade intelligent systems used by large, complex organisations to automate high-stakes workflows. The platform focuses on reliability, scale, and safety, turning experimental AI capabilities into tools that can be trusted in real operational environments. They are hiring an AI Engineer to help design and operate the core systems. The Opportunity This role is focused on building and operationalising AI systems. You'll be responsible for turning large language models into reliable, observable, and continuously improving production systems. You'll design and deploy agent-based architectures, retrieval pipelines, and evaluation frameworks. A core part of the role is ensuring these systems behave predictably in real-world conditions, with clear monitoring, feedback loops, and safeguards. You'll work closely with product, engineering, and commercial teams to translate complex workflows into AI-driven systems that can be trusted to operate autonomously. This is an opportunity to shape how AI agents are designed, tested, and released in a production environment. Skills and experience Experience in deploying AI-powered systems into production Strong experience in Python Practical experience with RAG architectures Clear communication and strong problem-solving instincts If you are looking for a new challenge, then please submit your CV for initial screening and more details. AI Engineer
22/05/2026
Full time
AI Engineer Salary: £140K - £200K + Equity Location: London in office A venture-backed AI technology company is building production-grade intelligent systems used by large, complex organisations to automate high-stakes workflows. The platform focuses on reliability, scale, and safety, turning experimental AI capabilities into tools that can be trusted in real operational environments. They are hiring an AI Engineer to help design and operate the core systems. The Opportunity This role is focused on building and operationalising AI systems. You'll be responsible for turning large language models into reliable, observable, and continuously improving production systems. You'll design and deploy agent-based architectures, retrieval pipelines, and evaluation frameworks. A core part of the role is ensuring these systems behave predictably in real-world conditions, with clear monitoring, feedback loops, and safeguards. You'll work closely with product, engineering, and commercial teams to translate complex workflows into AI-driven systems that can be trusted to operate autonomously. This is an opportunity to shape how AI agents are designed, tested, and released in a production environment. Skills and experience Experience in deploying AI-powered systems into production Strong experience in Python Practical experience with RAG architectures Clear communication and strong problem-solving instincts If you are looking for a new challenge, then please submit your CV for initial screening and more details. AI Engineer
A venture-backed AI technology company is seeking an AI Engineer to design and operationalize AI systems. This role involves turning large language models into reliable production systems and deploying agent-based architectures. The ideal candidate will have strong experience in Python and a proven track record in deploying AI-powered systems into production. This is an exciting opportunity to shape how AI agents are designed and tested in a real operational environment.
22/05/2026
Full time
A venture-backed AI technology company is seeking an AI Engineer to design and operationalize AI systems. This role involves turning large language models into reliable production systems and deploying agent-based architectures. The ideal candidate will have strong experience in Python and a proven track record in deploying AI-powered systems into production. This is an exciting opportunity to shape how AI agents are designed and tested in a real operational environment.
Data Science Festival is seeking a Staff Data Engineer to enhance their data platform in London with a hybrid work model. This role focuses on building scalable data pipelines and implementing cloud-native solutions on Azure and Databricks. You'll lead technical efforts within the team, making decisions on data processing and best practices while supporting fellow engineers. Ideal candidates have hands-on Azure experience, advanced SQL skills, and a proven track record in data pipeline maintenance.
20/05/2026
Full time
Data Science Festival is seeking a Staff Data Engineer to enhance their data platform in London with a hybrid work model. This role focuses on building scalable data pipelines and implementing cloud-native solutions on Azure and Databricks. You'll lead technical efforts within the team, making decisions on data processing and best practices while supporting fellow engineers. Ideal candidates have hands-on Azure experience, advanced SQL skills, and a proven track record in data pipeline maintenance.
Data Science Festival is seeking a Staff Data Scientist based in London, offering a salary of £120K - £140K plus equity. This strategic role focuses on geospatial data and operational optimization, requiring the candidate to lead product development and collaborate with multiple teams to improve movement patterns and efficiency. The ideal applicant will possess strong Python and SQL skills, experience with geospatial data, and the ability to build impactful data products. Candidates should be ready to tackle complex real-world data challenges.
20/05/2026
Full time
Data Science Festival is seeking a Staff Data Scientist based in London, offering a salary of £120K - £140K plus equity. This strategic role focuses on geospatial data and operational optimization, requiring the candidate to lead product development and collaborate with multiple teams to improve movement patterns and efficiency. The ideal applicant will possess strong Python and SQL skills, experience with geospatial data, and the ability to build impactful data products. Candidates should be ready to tackle complex real-world data challenges.
Staff Data Engineer Salary: £85,000 - £95,000 Location: London, hybrid Data Idols are working with one of the best-known retail brands in the UK that are investing heavily in its data platform. They are looking for a Staff Data Engineer to play a key role in scaling production data systems and raising engineering standards across the wider data function. This role sits at the centre of a major data transformation and offers the chance to work on high impact data platforms used across the business. The Opportunity As a Staff Data Engineer, you'll take ownership of complex, production grade data pipelines and act as a technical leader within the data engineering team. You'll work on cloud native solutions built on Azure and Databricks, making key decisions around data processing, modelling, and performance. Alongside hands on delivery, you'll help set best practices, support other engineers, and influence how data engineering is done across the organisation. Skills & Experience Strong hands on experience with Azure data platforms Advanced SQL skills Commercial experience using Databricks and PySpark Proven background building and maintaining scalable data pipelines
19/05/2026
Full time
Staff Data Engineer Salary: £85,000 - £95,000 Location: London, hybrid Data Idols are working with one of the best-known retail brands in the UK that are investing heavily in its data platform. They are looking for a Staff Data Engineer to play a key role in scaling production data systems and raising engineering standards across the wider data function. This role sits at the centre of a major data transformation and offers the chance to work on high impact data platforms used across the business. The Opportunity As a Staff Data Engineer, you'll take ownership of complex, production grade data pipelines and act as a technical leader within the data engineering team. You'll work on cloud native solutions built on Azure and Databricks, making key decisions around data processing, modelling, and performance. Alongside hands on delivery, you'll help set best practices, support other engineers, and influence how data engineering is done across the organisation. Skills & Experience Strong hands on experience with Azure data platforms Advanced SQL skills Commercial experience using Databricks and PySpark Proven background building and maintaining scalable data pipelines
Staff Data Scientist £120K - £140K + Equity London Hybrid At Data Idols, we are working with a high-growth technology business using advanced data science, machine learning and operational intelligence to solve complex real-world movement and optimisation problems at scale. They are now looking for a Staff Data Scientist to lead the development of geospatial and movement intelligence products that sit at the heart of the business. The Opportunity This is a highly strategic individual contributor role focused on geospatial data, routing intelligence and operational optimisation. You will own the roadmap and technical direction for a critical data product area, helping the business better understand movement patterns, improve operational efficiency and build intelligent systems powered by real-world geographic data. You will work closely with Engineering, Product, Operational Research and Data Science teams, building scalable datasets, production-grade models and reusable data products used across the organisation. This role suits someone who enjoys solving ambiguous technical problems, working with large-scale operational datasets and building products that directly influence business performance. Skills and experience Strong Python and SQL skills Experience working with geospatial, routing or movement-related data Experience building production-grade data products or ML systems Strong stakeholder management and communication skills Experience working with large, complex or unstructured datasets Experience operating in fast-moving environments If you are looking for a new challenge and want to work on complex real-world data problems where your work directly influences operational performance and product strategy, please submit your CV for initial screening and further details.
19/05/2026
Full time
Staff Data Scientist £120K - £140K + Equity London Hybrid At Data Idols, we are working with a high-growth technology business using advanced data science, machine learning and operational intelligence to solve complex real-world movement and optimisation problems at scale. They are now looking for a Staff Data Scientist to lead the development of geospatial and movement intelligence products that sit at the heart of the business. The Opportunity This is a highly strategic individual contributor role focused on geospatial data, routing intelligence and operational optimisation. You will own the roadmap and technical direction for a critical data product area, helping the business better understand movement patterns, improve operational efficiency and build intelligent systems powered by real-world geographic data. You will work closely with Engineering, Product, Operational Research and Data Science teams, building scalable datasets, production-grade models and reusable data products used across the organisation. This role suits someone who enjoys solving ambiguous technical problems, working with large-scale operational datasets and building products that directly influence business performance. Skills and experience Strong Python and SQL skills Experience working with geospatial, routing or movement-related data Experience building production-grade data products or ML systems Strong stakeholder management and communication skills Experience working with large, complex or unstructured datasets Experience operating in fast-moving environments If you are looking for a new challenge and want to work on complex real-world data problems where your work directly influences operational performance and product strategy, please submit your CV for initial screening and further details.
Machine Learning Engineer Salary: £60,00 - £65,000 Location: London - Hybrid - 2 days We are currently looking for a Machine Learning Engineer to join our client's data team. This is a hands on role where you'll design and build robust data pipelines, transform ML prototypes into production ready systems, and champion MLOps best practices across the business. As a Machine Learning Engineer, you'll play a crucial role in ensuring our clients' data and AI strategy scales effectively, directly influencing the way millions of people engage with their products every day. The Opportunity This is a unique chance to combine data engineering with machine learning in a high impact environment. You'll work closely with analysts, data engineers and stakeholders, ensuring models are reliable, scalable, and production ready. Unlike many roles in the tech sector, this Machine Learning Engineer role gives you the visibility of seeing your work applied at scale, powering decision making and user experiences for a vast audience. Your day to day will include: Building and maintaining end to end data pipelines and feature engineering workflows. Deploying and monitoring ML models in production using tools such as MLflow, Vertex AI, or Azure ML. Driving best practices in MLOps, including CI/CD, experiment tracking, and model governance. Supporting the data warehouse and ensuring data quality, governance, and accessibility. Collaborating with cross functional teams to deliver trusted datasets and insights. What's in it for you? Competitive salary with annual reviews. Hybrid working model offering flexibility. Generous holiday allowance that increases with service. Onsite wellness facilities, subsidised meals, and gym access. Access to wellbeing support services and employee assistance programmes. Clear career progression and opportunities to work with cutting edge tech. Skills and Experience Degree in Computer Science, Engineering, Mathematics, or a related field. Proven experience in data or ML engineering. Strong knowledge of Python and SQL. Hands on experience with cloud platforms (GCP or Azure) and Databricks. Familiarity with deploying ML workflows using MLflow, Vertex AI, or Azure ML. Nice-to-have: Experience with Spark, CI/CD pipelines, and orchestration tools. Knowledge of Elasticsearch or digital/web analytics platforms. Understanding of the full machine learning lifecycle, from experimentation to evaluation.
17/05/2026
Full time
Machine Learning Engineer Salary: £60,00 - £65,000 Location: London - Hybrid - 2 days We are currently looking for a Machine Learning Engineer to join our client's data team. This is a hands on role where you'll design and build robust data pipelines, transform ML prototypes into production ready systems, and champion MLOps best practices across the business. As a Machine Learning Engineer, you'll play a crucial role in ensuring our clients' data and AI strategy scales effectively, directly influencing the way millions of people engage with their products every day. The Opportunity This is a unique chance to combine data engineering with machine learning in a high impact environment. You'll work closely with analysts, data engineers and stakeholders, ensuring models are reliable, scalable, and production ready. Unlike many roles in the tech sector, this Machine Learning Engineer role gives you the visibility of seeing your work applied at scale, powering decision making and user experiences for a vast audience. Your day to day will include: Building and maintaining end to end data pipelines and feature engineering workflows. Deploying and monitoring ML models in production using tools such as MLflow, Vertex AI, or Azure ML. Driving best practices in MLOps, including CI/CD, experiment tracking, and model governance. Supporting the data warehouse and ensuring data quality, governance, and accessibility. Collaborating with cross functional teams to deliver trusted datasets and insights. What's in it for you? Competitive salary with annual reviews. Hybrid working model offering flexibility. Generous holiday allowance that increases with service. Onsite wellness facilities, subsidised meals, and gym access. Access to wellbeing support services and employee assistance programmes. Clear career progression and opportunities to work with cutting edge tech. Skills and Experience Degree in Computer Science, Engineering, Mathematics, or a related field. Proven experience in data or ML engineering. Strong knowledge of Python and SQL. Hands on experience with cloud platforms (GCP or Azure) and Databricks. Familiarity with deploying ML workflows using MLflow, Vertex AI, or Azure ML. Nice-to-have: Experience with Spark, CI/CD pipelines, and orchestration tools. Knowledge of Elasticsearch or digital/web analytics platforms. Understanding of the full machine learning lifecycle, from experimentation to evaluation.
Data Science Festival is seeking a Machine Learning Engineer in London. In this hybrid role, you will design and maintain robust data pipelines and transform ML prototypes into production systems, influencing how users engage with products. The ideal candidate will have a degree and proven experience in ML engineering, with strong skills in Python and SQL. Also offered are competitive salaries and generous holiday allowances, along with opportunities for career progression and working with cutting-edge technologies.
17/05/2026
Full time
Data Science Festival is seeking a Machine Learning Engineer in London. In this hybrid role, you will design and maintain robust data pipelines and transform ML prototypes into production systems, influencing how users engage with products. The ideal candidate will have a degree and proven experience in ML engineering, with strong skills in Python and SQL. Also offered are competitive salaries and generous holiday allowances, along with opportunities for career progression and working with cutting-edge technologies.
A rapidly scaling technology company in London seeks a Lead Data Scientist to own the data ecosystem and enhance operational decision-making. You will design, build, and scale the company's data capabilities while collaborating with product and engineering teams. Strong skills in Python, SQL, and data platform development are crucial for success in this high-autonomy role that offers significant influence within the organization.
16/05/2026
Full time
A rapidly scaling technology company in London seeks a Lead Data Scientist to own the data ecosystem and enhance operational decision-making. You will design, build, and scale the company's data capabilities while collaborating with product and engineering teams. Strong skills in Python, SQL, and data platform development are crucial for success in this high-autonomy role that offers significant influence within the organization.
Senior Full Stack Developer Salary: £65K - £75K London - Hybrid At Data Idols, we are working with an innovation-led organisation using technology, AI, and digital products to drive large-scale engagement and solve complex societal challenges. They are now looking for a Senior Full Stack Developer to take ownership of a core product platform and support its evolution as the organisation scales. The Opportunity This is a hands on, senior role focused on maintaining and enhancing a core digital platform used to deliver interactive, real time experiences. You will be responsible for building new features, improving performance, and integrating AI capabilities, while ensuring the platform remains secure, reliable, and scalable. Working closely with product, design, and engineering teams, you will play a key role in shaping the future of the platform and how it is used across a variety of projects. This role suits someone who is comfortable working across the full stack, enjoys solving varied technical challenges, and is confident operating in a fast moving, product led environment. Skills and experience Strong experience in full stack software development Experience working with AWS infrastructure Strong front end development skills such as React and TypeScript Experience working with C# Ability to work independently and manage multiple priorities If you are looking for a new challenge and want to work on impactful, technology driven products, please submit your CV for initial screening and further details.
16/05/2026
Full time
Senior Full Stack Developer Salary: £65K - £75K London - Hybrid At Data Idols, we are working with an innovation-led organisation using technology, AI, and digital products to drive large-scale engagement and solve complex societal challenges. They are now looking for a Senior Full Stack Developer to take ownership of a core product platform and support its evolution as the organisation scales. The Opportunity This is a hands on, senior role focused on maintaining and enhancing a core digital platform used to deliver interactive, real time experiences. You will be responsible for building new features, improving performance, and integrating AI capabilities, while ensuring the platform remains secure, reliable, and scalable. Working closely with product, design, and engineering teams, you will play a key role in shaping the future of the platform and how it is used across a variety of projects. This role suits someone who is comfortable working across the full stack, enjoys solving varied technical challenges, and is confident operating in a fast moving, product led environment. Skills and experience Strong experience in full stack software development Experience working with AWS infrastructure Strong front end development skills such as React and TypeScript Experience working with C# Ability to work independently and manage multiple priorities If you are looking for a new challenge and want to work on impactful, technology driven products, please submit your CV for initial screening and further details.
Data Science Festival is seeking a Lead Data Scientist for financial crime projects in London. You will lead data-focused projects and work closely with stakeholders across banking and fintech. The role offers a competitive salary of £95,000 - £120,000 plus bonuses and benefits. Key responsibilities include analyzing datasets, supporting monitoring processes, and translating insights into recommendations. This role provides ongoing training in a collaborative team, with a path towards strategic advisory roles.
15/05/2026
Full time
Data Science Festival is seeking a Lead Data Scientist for financial crime projects in London. You will lead data-focused projects and work closely with stakeholders across banking and fintech. The role offers a competitive salary of £95,000 - £120,000 plus bonuses and benefits. Key responsibilities include analyzing datasets, supporting monitoring processes, and translating insights into recommendations. This role provides ongoing training in a collaborative team, with a path towards strategic advisory roles.
Lead Data Scientist - Financial Crime Salary: £95,000 - £120,000 + bonus + benefits Location: London (Hybrid - 2-3 days per week) We are currently looking for a Lead Data Scientist to join a growing, specialist consultancy within the financial services space. This role sits within a high-performing and collaborative team, supporting a range of organisations across banking, fintech, and payments. As a Lead Data Scientist, you will work closely with senior stakeholders to deliver data-led solutions focused on risk, fraud, and financial crime. The Lead Data Scientist will play a key role in leading projects end to end, combining strong analytical capability with stakeholder engagement. This is an important hire for the business as they continue to expand their data offering and support clients with increasingly complex challenges. The Opportunity This role offers a blend of hands on data work and strategic input, ideal for someone looking to move into a more consultative environment while remaining close to the technology. You will be responsible for: Leading data focused projects across financial crime and fraud Analysing large datasets to identify trends, risks, and opportunities Supporting the design and improvement of monitoring and detection processes Working closely with business and technical stakeholders to deliver solutions Translating data insights into clear, actionable recommendations Supporting junior team members and contributing to overall project delivery Contributing to broader initiatives across the business where relevant What sets this apart: A mix of data science, analytics, and stakeholder engagement Exposure to a variety of clients and challenges Opportunity to influence how data is used to manage risk A pathway into a more strategic and advisory led role What's in it for you? Competitive salary (£95,000 - £120,000) + bonus Hybrid working Ongoing training and development Clear progression opportunities Exposure to a range of projects and clients Supportive and collaborative team environment Skills and Experience Strong background in data, analytics, or data science Experience working within financial services, risk, or fraud related domains Ability to work with stakeholders and communicate insights effectively Experience working with modern data tools and technologies
14/05/2026
Full time
Lead Data Scientist - Financial Crime Salary: £95,000 - £120,000 + bonus + benefits Location: London (Hybrid - 2-3 days per week) We are currently looking for a Lead Data Scientist to join a growing, specialist consultancy within the financial services space. This role sits within a high-performing and collaborative team, supporting a range of organisations across banking, fintech, and payments. As a Lead Data Scientist, you will work closely with senior stakeholders to deliver data-led solutions focused on risk, fraud, and financial crime. The Lead Data Scientist will play a key role in leading projects end to end, combining strong analytical capability with stakeholder engagement. This is an important hire for the business as they continue to expand their data offering and support clients with increasingly complex challenges. The Opportunity This role offers a blend of hands on data work and strategic input, ideal for someone looking to move into a more consultative environment while remaining close to the technology. You will be responsible for: Leading data focused projects across financial crime and fraud Analysing large datasets to identify trends, risks, and opportunities Supporting the design and improvement of monitoring and detection processes Working closely with business and technical stakeholders to deliver solutions Translating data insights into clear, actionable recommendations Supporting junior team members and contributing to overall project delivery Contributing to broader initiatives across the business where relevant What sets this apart: A mix of data science, analytics, and stakeholder engagement Exposure to a variety of clients and challenges Opportunity to influence how data is used to manage risk A pathway into a more strategic and advisory led role What's in it for you? Competitive salary (£95,000 - £120,000) + bonus Hybrid working Ongoing training and development Clear progression opportunities Exposure to a range of projects and clients Supportive and collaborative team environment Skills and Experience Strong background in data, analytics, or data science Experience working within financial services, risk, or fraud related domains Ability to work with stakeholders and communicate insights effectively Experience working with modern data tools and technologies
Principal Data Analyst £95K - £105K London hybrid At Data Idols, we are working with a fast-growing, technology-led digital business operating at significant scale across multiple international markets. They are now looking for a Principal Data Analyst to lead a small analytics team and drive commercially impactful insight across a critical business domain. The Opportunity This is a high-ownership leadership role sitting at the intersection of analytics, commercial strategy and operational performance. You will act as the key analytics partner for a core business function, helping stakeholders understand performance, identify optimisation opportunities and make better strategic decisions through data. Leading a small team of analysts, you will shape how analytics is delivered across the organisation, setting standards for reporting and visualisation, building measurement frameworks, and ensuring insight translates into meaningful commercial impact. You will work closely with commercial, product and engineering teams, influencing both day-to-day decision-making and longer-term strategic direction. Skills and experience Advanced SQL skills Experience with analytics engineering tooling such as dbt Experience using visualisation tools Experience leading or mentoring analysts Ability to influence strategic decision-making through data and insight If you are looking for a new challenge and want to play a key role in shaping commercial and operational decision-making through analytics, please submit your CV for initial screening and further details.
09/05/2026
Full time
Principal Data Analyst £95K - £105K London hybrid At Data Idols, we are working with a fast-growing, technology-led digital business operating at significant scale across multiple international markets. They are now looking for a Principal Data Analyst to lead a small analytics team and drive commercially impactful insight across a critical business domain. The Opportunity This is a high-ownership leadership role sitting at the intersection of analytics, commercial strategy and operational performance. You will act as the key analytics partner for a core business function, helping stakeholders understand performance, identify optimisation opportunities and make better strategic decisions through data. Leading a small team of analysts, you will shape how analytics is delivered across the organisation, setting standards for reporting and visualisation, building measurement frameworks, and ensuring insight translates into meaningful commercial impact. You will work closely with commercial, product and engineering teams, influencing both day-to-day decision-making and longer-term strategic direction. Skills and experience Advanced SQL skills Experience with analytics engineering tooling such as dbt Experience using visualisation tools Experience leading or mentoring analysts Ability to influence strategic decision-making through data and insight If you are looking for a new challenge and want to play a key role in shaping commercial and operational decision-making through analytics, please submit your CV for initial screening and further details.
A technology firm in the UK is seeking a Data Lead to join their fast-paced team. This role focuses on optimizing data quality and driving data-driven recommendations. Successful candidates will have proven leadership in data-focused teams, expertise in SQL, and experience with cloud platforms. The position offers a competitive salary, hybrid working, and opportunities for career development while leading a high-performing team on innovative data projects.
09/05/2026
Full time
A technology firm in the UK is seeking a Data Lead to join their fast-paced team. This role focuses on optimizing data quality and driving data-driven recommendations. Successful candidates will have proven leadership in data-focused teams, expertise in SQL, and experience with cloud platforms. The position offers a competitive salary, hybrid working, and opportunities for career development while leading a high-performing team on innovative data projects.
A leading software company in London is seeking a Staff Software Engineer to build backend infrastructure for advanced AI systems. The ideal candidate has strong expertise in Python and modern backend frameworks, with a solid understanding of PostgreSQL, RESTful APIs, and microservices. This role requires collaboration with various teams to ensure reliable performance under load while meeting strict security standards. The position offers a competitive salary along with equity options.
07/05/2026
Full time
A leading software company in London is seeking a Staff Software Engineer to build backend infrastructure for advanced AI systems. The ideal candidate has strong expertise in Python and modern backend frameworks, with a solid understanding of PostgreSQL, RESTful APIs, and microservices. This role requires collaboration with various teams to ensure reliable performance under load while meeting strict security standards. The position offers a competitive salary along with equity options.
Senior Data Analyst £75K - £85K London (Hybrid) At Data Idols, we are working with a large-scale, data-driven ecommerce business operating globally and using analytics to drive commercial performance. They are now looking for a Senior Data Analyst to play a key role in shaping pricing strategy and supporting the next phase of growth. The Opportunity This is a hands-on, high-impact role sitting at the heart of the analytics function. You will be responsible for analysing pricing performance, running experiments, and providing clear, data-driven recommendations that influence commercial decisions. Initially, you will work with existing pricing systems, evaluating performance and running trials. Over time, you will contribute to the development of a more advanced pricing platform, with a strong focus on simulations and their impact on business outcomes. You will work closely with stakeholders across product, commercial, and technology teams, helping to embed data-led decision making across the organisation. Skills and experience Strong experience in analytics within e-commerce, marketplace, or similar environments Advanced SQL skills and experience working with large datasets Experience building dashboards Experience with A/B testing or experimentation Ability to translate complex analysis into clear, commercial insights
07/05/2026
Full time
Senior Data Analyst £75K - £85K London (Hybrid) At Data Idols, we are working with a large-scale, data-driven ecommerce business operating globally and using analytics to drive commercial performance. They are now looking for a Senior Data Analyst to play a key role in shaping pricing strategy and supporting the next phase of growth. The Opportunity This is a hands-on, high-impact role sitting at the heart of the analytics function. You will be responsible for analysing pricing performance, running experiments, and providing clear, data-driven recommendations that influence commercial decisions. Initially, you will work with existing pricing systems, evaluating performance and running trials. Over time, you will contribute to the development of a more advanced pricing platform, with a strong focus on simulations and their impact on business outcomes. You will work closely with stakeholders across product, commercial, and technology teams, helping to embed data-led decision making across the organisation. Skills and experience Strong experience in analytics within e-commerce, marketplace, or similar environments Advanced SQL skills and experience working with large datasets Experience building dashboards Experience with A/B testing or experimentation Ability to translate complex analysis into clear, commercial insights
Data Science Festival is looking for a Senior Data Analyst based in London. This hybrid role offers a salary between £75K and £85K. You will play a key role in shaping the pricing strategy by analyzing performance and providing data-driven recommendations. Responsibilities include running experiments and developing a more advanced pricing platform, working closely with various stakeholders. Ideal candidates will have strong analytics experience within e-commerce and advanced SQL skills.
07/05/2026
Full time
Data Science Festival is looking for a Senior Data Analyst based in London. This hybrid role offers a salary between £75K and £85K. You will play a key role in shaping the pricing strategy by analyzing performance and providing data-driven recommendations. Responsibilities include running experiments and developing a more advanced pricing platform, working closely with various stakeholders. Ideal candidates will have strong analytics experience within e-commerce and advanced SQL skills.
Staff Software Engineer Salary: £130K - £140K + Equity Location: London in office Data Idols are working with a rapidly scaling software company who are looking for a Staff Software Engineer to join their team. The product sits at the intersection of AI systems, complex data workflows, and enterprise-grade reliability, turning sophisticated technology into tools that can be trusted in production. The Opportunity This role is about building serious backend infrastructure for AI systems that operate in real-world, high-stakes environments. You'll be responsible for designing and evolving the backend services that support large-scale data processing, AI model deployment, and secure enterprise workflows. Your work will ensure that complex AI functionality is delivered reliably, performs under load, and meets strict security and compliance expectations. You'll collaborate closely with machine learning engineers, product managers, and infrastructure specialists to turn advanced AI capabilities into production-ready systems. Alongside hands-on delivery, you'll influence architectural decisions, guide technical standards, and help shape how backend engineering is done as the platform scales. This is a role for someone who enjoys ownership, depth, and solving hard systems problems. Skills and experience Strong expertise in Python and modern backend frameworks Deep knowledge of relational databases, particularly PostgreSQL Strong understanding of RESTful API design and microservices patterns Experience working with cloud platforms and containerised environments (Docker, Kubernetes) If you are looking for a new challenge, then please submit your CV for initial screening and more details.
07/05/2026
Full time
Staff Software Engineer Salary: £130K - £140K + Equity Location: London in office Data Idols are working with a rapidly scaling software company who are looking for a Staff Software Engineer to join their team. The product sits at the intersection of AI systems, complex data workflows, and enterprise-grade reliability, turning sophisticated technology into tools that can be trusted in production. The Opportunity This role is about building serious backend infrastructure for AI systems that operate in real-world, high-stakes environments. You'll be responsible for designing and evolving the backend services that support large-scale data processing, AI model deployment, and secure enterprise workflows. Your work will ensure that complex AI functionality is delivered reliably, performs under load, and meets strict security and compliance expectations. You'll collaborate closely with machine learning engineers, product managers, and infrastructure specialists to turn advanced AI capabilities into production-ready systems. Alongside hands-on delivery, you'll influence architectural decisions, guide technical standards, and help shape how backend engineering is done as the platform scales. This is a role for someone who enjoys ownership, depth, and solving hard systems problems. Skills and experience Strong expertise in Python and modern backend frameworks Deep knowledge of relational databases, particularly PostgreSQL Strong understanding of RESTful API design and microservices patterns Experience working with cloud platforms and containerised environments (Docker, Kubernetes) If you are looking for a new challenge, then please submit your CV for initial screening and more details.